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Inferring Stable Genetic Networks from Steady-State Data
convex optimization stability of linear systems
2015/7/9
Gene regulatory networks capture the interactions between genes and other cell substances, resulting from the fundamental biological process of transcription and translation. In some applications, the...
A Batch Means Methodology for Estimation of a Nonlinear Function of a Steady- State Mean
Simulation Output Analysis Steady-State Simulation Nonlinear Estimation Batch Means Jack- knifing
2015/7/8
We study the estimation of steady-state performance measures from an Ad-valued stochastic process Y = {Y(t): t≥0} representing the output of a simulation. In many applications, we may be interested in...
Multivariate Standardized Time Series for Steady-State Simulation Output Analysis
Simulation statistical analysis multivariate steady-state output analysi
2015/7/8
The theory of standardized time series, initially proposed to estimate a single steady-state mean from the output of a simulation, is extended to the case where more than one steady-state mean is to b...
Regenerative Steady-State Simulation of Discrete-Event Systems
Regenerative Steady-State Simulation Discrete-Event Systems
2015/7/8
The regenerative method possesses certain asymptotic properties that dominate those of other steady-state simulation output analysis methods, such as batch means. Therefore, applying the regenerative ...
Empirical Performance of Bias-reducing Estimators for Regenerative Steady-State Simulations
Bias-reducing estimators regeneration simulation
2015/7/6
When simulating a stochastic system, simulationists often are interested in estimating various steady-state performance measures. The classical point estimator for such a measure involves simply takin...
The Initial Transient Problem for Steady-State Output Analysis
Initial Transient Problem Steady-State Output Analysis
2015/7/6
This tutorial is concerned with providing an overview of the key issues that arise in consideration of the initial transient problem for steady-state simulations. In addition, we will discuss the rela...
On the Theoretical Comparison of Low-Bias Steady-State Estimators
Low-bias estimators steady-state simulation mean-square error expansion
2015/7/6
The time-average estimator is typically biased in the context of steady-state simulation, and its bias is of order 1/t, where t represents simulated time. Several “low-bias” estimators have been devel...
Asymptotic Validity of Batch Means Steady-State Confidence Intervals
Asymptotic Validity Batch Means Steady-State Confidence Intervals
2015/7/6
Themethod of batch means is a widely applied procedure for constructing steady-state confidence intervals. The traditional theoretical support for the method of batch means has rested on the assumptio...
New Estimators for Parallel Steady-State Simulations
Estimators Parallel Steady-State Simulations
2015/7/6
When estimating steady-state parameters in parallel discrete event simulation, initial transient is an important issue to consider. To mitigate the impact of initial condition on the quality of the es...
The existence of a steady state for perturbed symmetric random walk on a random lattice
Random field passive tracer random walk in random environment Einstein relation
2009/9/21
In the present paper we consider a continuous time
random walk on an anisotropic random lattice. We show the existence
of a steady state 0, for the environment process (( (t)),ao corresponding
to t...